D-I-TASSER Q8NC67

D-I-TASSER results for Q8NC67

[Click result.zip to download all results on this page]

Summary of the Protein

Uniprot ID: Q8NC67
Protein Name: Neuropilin and tolloid-like protein 2
Gene Name: NETO2

Input Sequence in FASTA format

>Q8NC67 (525 residues)
MALERLCSVLKVLLITVLVVEGIAVAQKTQDGQNIGIKHIPATQCGIWVRTSNGGHFASP
NYPDSYPPNKECIYILEAAPRQRIELTFDEHYYIEPSFECRFDHLEVRDGPFGFSPLIDR
YCGVKSPPLIRSTGRFMWIKFSSDEELEGLGFRAKYSFIPDPDFTYLGGILNPIPDCQFE
LSGADGIVRSSQVEQEEKTKPGQAVDCIWTIKATPKAKIYLRFLDYQMEHSNECKRNFVA
VYDGSSSIENLKAKFCSTVANDVMLKTGIGVIRMWADEGSRLSRFRMLFTSFVEPPCTSS
TFFCHSNMCINNSLVCNGVQNCAYPWDENHCKEKKKAGVFEQITKTHGTIIGITSGIVLV
LLIISILVQVKQPRKKVMACKTAFNKTGFQEVFDPPHYELFSLRDKEISADLADLSEELD
NYQKMRRSSTASRCIHDHHCGSQASSVKQSRTNLSSMELPFRNDFAQPQPMKTFNSTFKK
SSYTFKQGHECPEQALEDRVMEEIPCEIYVRGREDSAQASISIDF

Predicted Contact and Distance Map Used in D-I-TASSER simulation

Contact Map

Distance Map

D-I-TASSER simulation is guided by the consensus contact map (left figure) and distance map (right figure) derived based on confidence scores of AttentionPotential. In the contact, distance map and hydrogen bond networks, the axes mark the residue index along the sequence. For the contact map, each dot represents a residue pair with predicted contact, while for the distance map and hydrogen bond network, a color scale represents a distance of 1-20+ angstroms or a angle of 0-180 degree.

Information of Domain

No. of Domain	Domain	Domain Boundary	Length of Domain	Models of Domain	Sequence
1	Q8NC67-D1	1-525	525		MALERLCSVLKVLLITVLVVEGIAVAQKTQDGQNIGIKHIPATQCGIWVRTSNGGHFASPNYPDSYPPNKECIYILEAAPRQRIELTFDEHYYIEPSFECRFDHLEVRDGPFGFSPLIDRYCGVKSPPLIRSTGRFMWIKFSSDEELEGLGFRAKYSFIPDPDFTYLGGILNPIPDCQFELSGADGIVRSSQVEQEEKTKPGQAVDCIWTIKATPKAKIYLRFLDYQMEHSNECKRNFVAVYDGSSSIENLKAKFCSTVANDVMLKTGIGVIRMWADEGSRLSRFRMLFTSFVEPPCTSSTFFCHSNMCINNSLVCNGVQNCAYPWDENHCKEKKKAGVFEQITKTHGTIIGITSGIVLVLLIISILVQVKQPRKKVMACKTAFNKTGFQEVFDPPHYELFSLRDKEISADLADLSEELDNYQKMRRSSTASRCIHDHHCGSQASSVKQSRTNLSSMELPFRNDFAQPQPMKTFNSTFKKSSYTFKQGHECPEQALEDRVMEEIPCEIYVRGREDSAQASISIDF

Top 1 final models from D-I-TASSER

Click to view	Rank^a	Download	Estimated TM-score^b
	1	model1.pdb.gz	0.5868

(a)

D-I-TASSER simulations generate a large ensemble of structural conformations, i.e. decoys. These decoys are clustered by SPICKER based on pairwise structure similarity to report up to five final models from the five largest clusters. Models are ranked in descending order of cluster size. If the simulations converge well, it is possible to have less than 5 models generated, which is usually an indication of good model quality.

(b)

The model confidence is quantitatified by estimated TM-score (eTM-score), calculated based on significance of threading template alignments, contact map satisfaction rate, mean absolute error between distance of model and distance of AttentionPotential, and convergence of D-I-TASSER simulations. eTM-score is typically in the range of [0, 1], with higher eTM-score signifies higher model confidence.

Proteins with similar structure

Top 10 structural analogs in PDB (as identified by TM-align)

Rank	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	Download Alignment
1	3kq4B	0.70	2.37	0.179	0.747	model1_3kq4B.pdb.gz
2	5x7oA	0.40	6.61	0.044	0.589	model1_5x7oA.pdb.gz
3	1yq2A	0.39	7.28	0.036	0.619	model1_1yq2A.pdb.gz
4	5ak1A	0.39	7.53	0.057	0.636	model1_5ak1A.pdb.gz
5	6w2jA	0.39	7.57	0.031	0.632	model1_6w2jA.pdb.gz
6	5n6uA	0.38	7.28	0.040	0.611	model1_5n6uA.pdb.gz
7	2vzvA	0.38	7.51	0.035	0.629	model1_2vzvA.pdb.gz
8	6bycA	0.38	7.25	0.028	0.608	model1_6bycA.pdb.gz
9	2vmfB	0.38	7.19	0.043	0.606	model1_2vmfB.pdb.gz
10	6npsA	0.38	7.24	0.040	0.602	model1_6npsA.pdb.gz

(a)	Query structure is shown in cartoon, while the structural analog is displayed using backbone trace.
(b)	Ranking of proteins is based on TM-score of the structural alignment between the query structure and known structures in the PDB library.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov. represents the coverage of the alignment by TM-align and is equal to the number of structurally aligned residues divided by length of the query protein.

Predicted Gene Ontology (GO) Terms

Molecular Function (MF)

GO term	Cscore^GO	Name
GO:0005215	0.39	transporter activity
GO:0022891	0.36	substrate-specific transmembrane transporter activity
GO:0005102	0.36	receptor binding
GO:0004872	0.36	receptor activity
GO:0003824	0.36	catalytic activity
GO:0015075	0.33	ion transmembrane transporter activity
GO:0022836	0.31	gated channel activity
GO:0005216	0.31	ion channel activity
GO:0099600	0.30	transmembrane receptor activity

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Molecular Function. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Biological Process (BP)

GO term	Cscore^GO	Name
GO:0044699	0.91	single-organism process
GO:0065007	0.84	biological regulation
GO:0009987	0.82	cellular process
GO:0050789	0.79	regulation of biological process
GO:0044763	0.76	single-organism cellular process
GO:0050794	0.73	regulation of cellular process
GO:0023051	0.52	regulation of signaling
GO:0010646	0.52	regulation of cell communication
GO:0048583	0.51	regulation of response to stimulus

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Biological Process. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Cellular Component (CC)

GO term	Cscore^GO	Name
GO:0044464	0.86	cell part
GO:0044424	0.57	intracellular part
GO:0043226	0.48	organelle
GO:0016020	0.47	membrane
GO:0044425	0.44	membrane part
GO:0044421	0.44	extracellular region part
GO:0043229	0.38	intracellular organelle
GO:0005615	0.36	extracellular space
GO:0044459	0.35	plasma membrane part
GO:0043227	0.31	membrane-bounded organelle

Download full result of the above consensus prediction.

Click the graph to show a high resolution version.

(a)

Cscore^GO is the confidence score of predicted GO terms. Cscore^GO values range in between [0-1]; where a higher value indicates a better confidence in predicting the function using the template.

(b)

The graph shows the predicted terms within the Gene Ontology hierachy for Cellular Component. Confidently predicted terms are color coded by Cscore^GO:

[0.4,0.5)

[0.5,0.6)

[0.6,0.7)

[0.7,0.8)

[0.8,0.9)

[0.9,1.0]

Predicted Enzyme Commission (EC) Numbers

Top 5 enzyme homologs in PDB

Rank	Cscore^EC	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	EC Number	Predicted Active Site Residues
1	0.060	2ow6A	0.332	7.61	0.043	0.545	3.2.1.114	NA
2	0.060	1llwA	0.336	7.91	0.029	0.579	1.4.7.1	NA
3	0.060	1cb8A	0.336	7.48	0.028	0.543	4.2.2.5	34
4	0.060	1hn0A	0.355	7.33	0.042	0.570	4.2.2.20	NA
5	0.060	2e9bA	0.351	7.57	0.035	0.575	3.2.1.41	NA

	Click on the radio buttons to visualize predicted active site residues.
(a)	Cscore^EC is the confidence score for the Enzyme Commission (EC) number prediction. Cscore^EC values range in between [0-1]; where a higher score indicates a more reliable EC number prediction.
(b)	TM-score is a measure of global structural similarity between query and template protein.
(c)	RMSD^a is the RMSD between residues that are structurally aligned by TM-align.
(d)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(e)	Cov. represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

Predicted Ligand Binding Sites

Template proteins with similar binding site:

Rank	Cscore^LB	PDB Hit	TM-score	RMSD^a	IDEN^a	Cov.	BS-score	Lig. Name	Download Complex	Predicted binding site residues
1	0.01	3ob8A	0.363	7.22	0.049	0.571	0.12	GAL	complex1.pdb.gz	46,47,92
2	0.01	3cmvA	0.321	7.44	0.038	0.518	0.12	ANP	complex2.pdb.gz	30,31,33,47
3	0.01	3cmvG	0.333	7.80	0.023	0.556	0.22	ANP	complex3.pdb.gz	23,24,25
4	0.01	3cmvF	0.326	7.90	0.037	0.552	0.13	ANP	complex4.pdb.gz	48,49,50,52
5	0.01	3cmvB	0.286	7.65	0.048	0.474	0.33	ANP	complex5.pdb.gz	33,34,36,44
6	0.01	3cmvH	0.332	7.57	0.056	0.543	0.21	ANP	complex6.pdb.gz	23,24,25,26
7	0.01	3cmvE	0.319	8.12	0.025	0.562	0.30	ANP	complex7.pdb.gz	46,47,74,75,108,111
8	0.01	3cmvA	0.321	7.44	0.038	0.518	0.13	ANP	complex8.pdb.gz	39,55,59
9	0.01	3cmvA	0.321	7.44	0.038	0.518	0.13	ANP	complex9.pdb.gz	23,26,36

	Click on the radio buttons to visualize predicted binding site and residues.
(a)	Cscore^LB is the confidence score of predicted binding site. Cscore^LB values range in between [0-1]; where a higher score indicates a more reliable ligand-binding site prediction.
(b)	BS-score is a measure of local similarity (sequence & structure) between template binding site and predicted binding site in the query structure. Based on large scale benchmarking analysis, we have observed that a BS-score >1 reflects a significant local match between the predicted and template binding site.
(c)	TM-score is a measure of global structural similarity between query and template protein.
(d)	RMSD^a the RMSD between residues that are structurally aligned by TM-align.
(e)	IDEN^a is the percentage sequence identity in the structurally aligned region.
(f)	Cov. represents the coverage of global structural alignment and is equal to the number of structurally aligned residues divided by length of the query protein.

[Click result.zip to download all results on this page]

References:
1.	Wei Zheng, Chengxin Zhang, Yang Li, Robin Pearce, Eric W. Bell, Yang Zhang. Folding non-homology proteins by coupling deep-learning contact maps with I-TASSER assembly simulations. In preparation, 2020.